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Decision-Focused Learning for Mean-Variance Portfolio Optimization via KKT-Based Reformulation
Mean-variance portfolio optimization (MVO) is a central framework in data-driven asset management. A widely adopted approach is a two-stage framework that first predicts expected returns and then solves the optimization problem based on these predictions, with the predictive models trained by minimi
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